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Big Data for Sustainable Transport Planning

67b1027cca3877a76a9024425519ddde?s=47 Robin
February 26, 2015

Big Data for Sustainable Transport Planning

Slides presented at a 'Big Data and Transport' symposium organised by the Institute for Transport Studies (ITS) and the Consumer Data Research Centre (CDRC) in Leeds, UK.

67b1027cca3877a76a9024425519ddde?s=128

Robin

February 26, 2015
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Transcript

  1. Big Data for sustainable transport planning Robin Lovelace Researcher, CDRC

    @robinlovelace
  2. Structure 1. What even is ‘Big Data’ 2. Data on

    cycling safety 3. Understanding travel patterns 4. Prioritising new investment
  3. What is Big Data?

  4. Various definitions • 1 Billion+ rows? • 3 or 4

    V’s? • Software needs? • Hardware needs? • Complexity?
  5. Part I: Data to improve safety

  6. New insights on populations at risk

  7. Estimates of cycling riskiness

  8. Part II: Better understanding of travel patterns “Non work flows”

    are hard to estimate New sources of data can help • Mobile phone data ( access and accuracy) • Dedicated tracking apps • Passive data collection (Google Maps)
  9. E.g. Cycle Hackney

  10. Current research: Twitter to calibrate SIM

  11. Scenarios of cycling: national

  12. Part III: Prioritising new investment in walking and cycling

  13. Where do people travel? https://github.com/npct/pct

  14. Input: work-time population

  15. Making data come alive! https://robinlovelace.shinyapps.io/fixMyPath/

  16. The future of big data in transport • Smart tracking

    and behaviour of driverless cars • Real-time bus route decision making • Intelligent congestion charging zones • A ‘post-carbon’ transport system
  17. Thanks for listening! r.lovelace@leeds.ac.uk @robinlovelace slides: robinlovelace.net

  18. Research interests